PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Bedini L., Bottini S., Herranz D., Kuruoglu E. E., Salerno E., Tonazzini A. Separation of dependent sources in astrophysical radiation maps using second order statistics. In: Astronomical Data Analysis (Sant' Agata sui due Golfi, 28 April - 1 May 2004). Proceedings, pp. 1 - 9. F. Murtagh, G. Longo, J-L Starck and V. de Gesł (eds.). Electronic Workshops in Computing (eWiC) series, 2004.
 
 
Abstract
(English)
This paper proposes a semi-blind approach for the separation of sources that are not totally uncorrelated. Up to now, all work on separation of components in astrophysical maps have assumed statistically independent sources. In this work, we attempt to perform a dependent component analysis of astrophysical sources and we propose a semi-blind algorithm which provides separation using second-order statistics only.
Subject Dependent component analysis
Source separation
Astrophysics
I.4.4 Restoration
J.2 Physical sciences and engineering. Astronomy


Icona documento 1) Download Document PDF


Icona documento Open access Icona documento Restricted Icona documento Private

 


Per ulteriori informazioni, contattare: Librarian http://puma.isti.cnr.it

Valid HTML 4.0 Transitional